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position is at the Department of Accounting, Innovation and Strategy in the subject area Technology and Innovation Management headed by Stefan Wagner. The institute is part of the Faculty of Business
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: 06/20/2025 Laboratory & Technology
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interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical engineering and radiochemists. We are enthusiastic about neurochemicals acting as
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(prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and
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and graph learning frameworks such as PyTorch, PyTorch Geometric. Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods
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: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field Methodological competence: First experience with
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(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
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in biochemistry and structural biology (cryo-EM). This position is funded through our ERC Starting Grant BROADCAST. If you are passionate about mobile DNA, structural biology, and genome engineering
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personality: For this position, it is mandatory that you have a relevant university education in computer science or electrical engineering or a related field. Likewise, your research subject must be in
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, for instance, conflicting interests in space as well as innovation and technology for collective spatial action. You will take on administrative tasks in research and teaching. This is part of your personal